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Constrained experimental design Combining models and combining data / Realistic simulation of clinical trials Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality Generalisability
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the Philip Leverhulme Prize. We are looking for a researcher interested in running coupled chemo-mechanical finite element simulations to address mechanical challenges that are holding back
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experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality
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developing novel computational or statistical methods for muscle biology Enthusiasm for open science — sharing code, data and reproducible research practices Downloading a copy of our Job Description Full
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health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated
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) imaging. Familiarity with linking imaging data to biological or clinical metrics, including hematological markers and neurodevelopmental outcomes. Ability to plan and prioritize workload. Downloading a copy
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, percolation, random graphs/trees, polymer models. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description
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correlated environments, percolation, random graphs/trees, polymer models. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in
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of international collaborations. Research experience with modelling organic molecules or polymers. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required
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. The study will involve computational modelling of dynamic aperture and coherent instabilities based on single- and multi-particle tracking simulations, as well as designing and conducting experiments